Data Analysis with Python Projects - Medical Data Visualizer

Python
1

SOMEBODY PLEASE :

I have tried it all, i run my code personally on my pc using jupyterlab before running it on gitpod (interface provided by freecodecamp). All ran successfully, only to get to gitpod and they all failed, this is my code for the project ’ Medical Data Visualizer’.
Kindly tell me what i am doing wrong here…

Your code so far (My Code)

import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import numpy as np

# Import data
df = pd.read_csv('medical_examination.csv')

# Add 'overweight' column
BMI = (df['weight'] / (df['height']/100)**2)

def change(i):
    if i > 25:
        return 1
    else:
        return 0

df['overweight'] = BMI.apply(change)

# Normalize data by making 0 always good and 1 always bad. If the value of 'cholesterol' or 'gluc' is 1, make the value 0. If the value is more than 1, make the value 1.
normalized_change = {1:0, 2:1, 3:1}

df['cholesterol'] = df['cholesterol'].map(normalized_change)

df['gluc'] = df['gluc'].map(normalized_change)


# Draw Categorical Plot
def draw_cat_plot():
    # Create DataFrame for cat plot using `pd.melt` using just the values from 'cholesterol', 'gluc', 'smoke', 'alco', 'active', and 'overweight'.
    df_cat = pd.melt(df, id_vars = 'cardio', value_vars = (['cholesterol', 'gluc', 'alco', 'active', 'smoke', 'overweight']))


    # Group and reformat the data to split it by 'cardio'. Show the counts of each feature. You will have to rename one of the columns for the catplot to work correctly.
    df_cat = pd.DataFrame(df_cat.groupby(['cardio', 'variable', 'value']).size().reset_index(name='total'))
    

    # Draw the catplot with 'sns.catplot()'
    sns.catplot(data=df_cat, x="variable", y="total", hue="value", col="cardio", kind="bar", order=["active", "alco", "cholesterol", "gluc", "overweight", "smoke"])

    # Get the figure for the output
    fig = sns.catplot(data=df_cat, x="variable", y="total", hue="value", col="cardio", kind="bar", order=["active", "alco", "cholesterol", "gluc", "overweight", "smoke"]).fig


    # Do not modify the next two lines
    fig.savefig('catplot.png')
    return fig


# Draw Heat Map
def draw_heat_map():
    # Clean the data
    df_heat = df[ 
        (df['ap_lo'] <= df['ap_hi'] ) & 
        (df['height'] >= df['height'].quantile(0.025)) & 
        (df['height'] <= df['height'].quantile(0.975)) & 
        (df['weight'] >= df['weight'].quantile(0.025)) & 
        (df['weight'] <= df['weight'].quantile(0.975))]

    # Calculate the correlation matrix
    corr = df_heat.corr()

    # Generate a mask for the upper triangle
    mask = np.zeros_like(corr)
    mask[np.triu_indices_from(mask)] = True



    # Set up the matplotlib figure
    fig, ax = plt.subplots()

    # Draw the heatmap with 'sns.heatmap()'
    ax = sns.heatmap(corr, mask=mask, vmax=0.32, vmin = -0.16, square=True, fmt="0.1f", annot=True)


    # Do not modify the next two lines
    fig.savefig('heatmap.png')
    return fig

After running my main.py… This is the error it gave me

gitpod /workspace/boilerplate-medical-data-visualizer (main) $ /home/gitpod/.pyenv/shims/python /workspace/boilerplate-medical-data-visualizer/main.py
Traceback (most recent call last):
  File "/workspace/boilerplate-medical-data-visualizer/main.py", line 6, in <module>
    medical_data_visualizer.draw_cat_plot()
  File "/workspace/boilerplate-medical-data-visualizer/medical_data_visualizer.py", line 39, in draw_cat_plot
    sns.catplot(data=df_cat, x="variable", y="total", hue="value", col="cardio", kind="bar", order=["active", "alco", "cholesterol", "gluc", "overweight", "smoke"])
  File "/workspace/.pyenv_mirror/user/current/lib/python3.8/site-packages/seaborn/categorical.py", line 3716, in catplot
    p.establish_variables(x_, y_, hue, data, orient, order, hue_order)
  File "/workspace/.pyenv_mirror/user/current/lib/python3.8/site-packages/seaborn/categorical.py", line 158, in establish_variables
    orient = self.infer_orient(x, y, orient)
  File "/workspace/.pyenv_mirror/user/current/lib/python3.8/site-packages/seaborn/categorical.py", line 359, in infer_orient
    elif is_not_numeric(y):
  File "/workspace/.pyenv_mirror/user/current/lib/python3.8/site-packages/seaborn/categorical.py", line 339, in is_not_numeric
    np.asarray(s, dtype=np.float)
  File "/workspace/.pyenv_mirror/user/current/lib/python3.8/site-packages/numpy/__init__.py", line 305, in __getattr__
    raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'float'.
`np.float` was a deprecated alias for the builtin `float`. To avoid this error in existing code, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    http:numpy.org/devdocs/release/1.20.0-notes.html#deprecations
gitpod /workspace/boilerplate-medical-data-visualizer (main) $

*And after running my test_module.py.. It gave me the following errors..*


***gitpod /workspace/boilerplate-medical-data-visualizer (main) $ /home/gitpod/.pyenv/shims/python /workspace/boilerplate-medical-data-visualizer/test_module.py**

**EE/workspace/.pyenv_mirror/user/current/lib/python3.8/site-packages/seaborn/matrix.py:80: FutureWarning: In the future `np.bool` will be defined as the corresponding NumPy scalar.**

**  dtype=np.bool)**

**E/workspace/.pyenv_mirror/user/current/lib/python3.8/site-packages/seaborn/matrix.py:80: FutureWarning: In the future `np.bool` will be defined as the corresponding NumPy scalar.**
**  dtype=np.bool)***

E
======================================================================
ERROR: test_bar_plot_number_of_bars (__main__.CatPlotTestCase)

----------------------------------------------------------------------
Traceback (most recent call last):
  File "/workspace/boilerplate-medical-data-visualizer/test_module.py", line 9, in setUp
    self.fig = medical_data_visualizer.draw_cat_plot()
  File "/workspace/boilerplate-medical-data-visualizer/medical_data_visualizer.py", line 39, in draw_cat_plot
    sns.catplot(data=df_cat, x="variable", y="total", hue="value", col="cardio", kind="bar", order=["active", "alco", "cholesterol", "gluc", "overweight", "smoke"])
  File "/workspace/.pyenv_mirror/user/current/lib/python3.8/site-packages/seaborn/categorical.py", line 3716, in catplot
    p.establish_variables(x_, y_, hue, data, orient, order, hue_order)
  File "/workspace/.pyenv_mirror/user/current/lib/python3.8/site-packages/seaborn/categorical.py", line 158, in establish_variables
    orient = self.infer_orient(x, y, orient)
  File "/workspace/.pyenv_mirror/user/current/lib/python3.8/site-packages/seaborn/categorical.py", line 359, in infer_orient
    elif is_not_numeric(y):
  File "/workspace/.pyenv_mirror/user/current/lib/python3.8/site-packages/seaborn/categorical.py", line 339, in is_not_numeric
    np.asarray(s, dtype=np.float)
  File "/workspace/.pyenv_mirror/user/current/lib/python3.8/site-packages/numpy/__init__.py", line 305, in __getattr__
    raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'float'.
`np.float` was a deprecated alias for the builtin `float`. To avoid this error in existing code, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    https:/numpy.org/devdocs/release/1.20.0-notes.html#deprecations

======================================================================
ERROR: test_line_plot_labels (__main__.CatPlotTestCase)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/workspace/boilerplate-medical-data-visualizer/test_module.py", line 9, in setUp
    self.fig = medical_data_visualizer.draw_cat_plot()
  File "/workspace/boilerplate-medical-data-visualizer/medical_data_visualizer.py", line 39, in draw_cat_plot
    sns.catplot(data=df_cat, x="variable", y="total", hue="value", col="cardio", kind="bar", order=["active", "alco", "cholesterol", "gluc", "overweight", "smoke"])
  File "/workspace/.pyenv_mirror/user/current/lib/python3.8/site-packages/seaborn/categorical.py", line 3716, in catplot
    p.establish_variables(x_, y_, hue, data, orient, order, hue_order)
  File "/workspace/.pyenv_mirror/user/current/lib/python3.8/site-packages/seaborn/categorical.py", line 158, in establish_variables
    orient = self.infer_orient(x, y, orient)
  File "/workspace/.pyenv_mirror/user/current/lib/python3.8/site-packages/seaborn/categorical.py", line 359, in infer_orient
    elif is_not_numeric(y):
  File "/workspace/.pyenv_mirror/user/current/lib/python3.8/site-packages/seaborn/categorical.py", line 339, in is_not_numeric
    np.asarray(s, dtype=np.float)
  File "/workspace/.pyenv_mirror/user/current/lib/python3.8/site-packages/numpy/__init__.py", line 305, in __getattr__
    raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'float'.
`np.float` was a deprecated alias for the builtin `float`. To avoid this error in existing code, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    https:/numpy.org/devdocs/release/1.20.0-notes.html#deprecations

======================================================================
ERROR: test_heat_map_labels (__main__.HeatMapTestCase)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/workspace/boilerplate-medical-data-visualizer/test_module.py", line 33, in setUp
    self.fig = medical_data_visualizer.draw_heat_map()
  File "/workspace/boilerplate-medical-data-visualizer/medical_data_visualizer.py", line 73, in draw_heat_map
    ax = sns.heatmap(corr, mask=mask, vmax=0.32, vmin = -0.16, square=True, fmt="0.1f", annot=True)
  File "/workspace/.pyenv_mirror/user/current/lib/python3.8/site-packages/seaborn/matrix.py", line 515, in heatmap
    plotter = _HeatMapper(data, vmin, vmax, cmap, center, robust, annot, fmt,
  File "/workspace/.pyenv_mirror/user/current/lib/python3.8/site-packages/seaborn/matrix.py", line 113, in __init__
    mask = _matrix_mask(data, mask)
  File "/workspace/.pyenv_mirror/user/current/lib/python3.8/site-packages/seaborn/matrix.py", line 80, in _matrix_mask
    dtype=np.bool)
  File "/workspace/.pyenv_mirror/user/current/lib/python3.8/site-packages/numpy/__init__.py", line 305, in __getattr__
    raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'bool'.
`np.bool` was a deprecated alias for the builtin `bool`. To avoid this error in existing code, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    https:/numpy.org/devdocs/release/1.20.0-notes.html#deprecations

======================================================================
ERROR: test_heat_map_values (__main__.HeatMapTestCase)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/workspace/boilerplate-medical-data-visualizer/test_module.py", line 33, in setUp
    self.fig = medical_data_visualizer.draw_heat_map()
  File "/workspace/boilerplate-medical-data-visualizer/medical_data_visualizer.py", line 73, in draw_heat_map
    ax = sns.heatmap(corr, mask=mask, vmax=0.32, vmin = -0.16, square=True, fmt="0.1f", annot=True)
  File "/workspace/.pyenv_mirror/user/current/lib/python3.8/site-packages/seaborn/matrix.py", line 515, in heatmap
    plotter = _HeatMapper(data, vmin, vmax, cmap, center, robust, annot, fmt,
  File "/workspace/.pyenv_mirror/user/current/lib/python3.8/site-packages/seaborn/matrix.py", line 113, in __init__
    mask = _matrix_mask(data, mask)
  File "/workspace/.pyenv_mirror/user/current/lib/python3.8/site-packages/seaborn/matrix.py", line 80, in _matrix_mask
    dtype=np.bool)
  File "/workspace/.pyenv_mirror/user/current/lib/python3.8/site-packages/numpy/__init__.py", line 305, in __getattr__
    raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'bool'.
`np.bool` was a deprecated alias for the builtin `bool`. To avoid this error in existing code, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    https:/numpy.org/devdocs/release/1.20.0-notes.html#deprecations

----------------------------------------------------------------------
Ran 4 tests in 0.174s

FAILED (errors=4)

SOMEBODY PLEASE HELP. THANKS.

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Challenge Information:

Data Analysis with Python Projects - Medical Data Visualizer

2

I’ve edited your code for readability. When you enter a code block into a forum post, please precede it with a separate line of three backticks and follow it with a separate line of three backticks to make it easier to read.

You can also use the “preformatted text” tool in the editor (</>) to add backticks around text.

Pre-formatted-text
Pre-formatted-text1356×380 401 KB

See this post to find the backtick on your keyboard.
Note: Backticks (`) are not single quotes (').

3

Try reading the error messages (I don’t mean this in a rude way, just that they do explain clearly the problem):

np.bool was a deprecated alias for the builtin bool. To avoid this error in existing code, use bool by itself.`

AttributeError: module ‘numpy’ has no attribute ‘float’.
np.float was a deprecated alias for the builtin float. To avoid this error in existing code, use float by itself.

You might have used a different version of numpy locally. You can check the versions of numpy locally and on github with this python line:

print(np.__version__)

The tests might be written for the older verson and you can try downgrading it numpy on gitpod. You can use this command:

pip install --force-reinstall numpy==1.20.3

This version should work.

1 Like
4

Thanks for the response, but where do i install this on gitpod?

pip install --force-reinstall numpy==1.20.3

I tried installing it on main.py and the test module, it didn’t work

5

in the terminal, use the terminal to install

1 Like
6

Thank you so much guys. It ran successfully. i am so grateful.

1 Like
7

Projects submitted successfully. I encountered the same problem too when doing “Page View Time Series Visualizer project” , did the same thing and it worked

1 Like
8

@hantec.globally were you able to complete the certification? I have been having problems with medical data and page view time series project

1 Like
9

Please open a new topic and share your code, and any error messages/hints/feedback or questions you have thanks!