Tell us what’s happening:
Describe your issue in detail here.
When ran on my local computer, my code past the test. When ran on replit.com, it failed to pass because some strange empty strings are added.
Your code so far
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
df['overweight'] = df["overweight"] = (df["weight"] /
(df["height"] / 100)**2 > 25) * 1
# 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.
df["cholesterol"] = (df["cholesterol"] > 1) * 1
df["gluc"] = (df["gluc"] > 1) * 1
# 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 = df.melt(id_vars=["cardio"],
value_vars=[
"cholesterol", "gluc", "smoke", "alco", "active",
"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 = df_cat.groupby(["cardio",
"variable"]).count().sort_index().reset_index()
df_cat.rename({"value": "total"}, axis=1, inplace=True)
# Draw the catplot with 'sns.catplot()'
# Get the figure for the output
g = sns.catplot(data=df_cat,
x="variable",
y="total",
hue="cardio",
col="cardio",
kind="bar")
fig = g.axes[0][0].get_figure()
# 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.loc[(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.triu(np.ones_like(corr))
# Set up the matplotlib figure
fig, ax = plt.subplots(figsize=(11, 9))
# Draw the heatmap with 'sns.heatmap()'
sns.heatmap(corr, mask=mask, annot=True, fmt=".1f", ax=ax)
# Do not modify the next two lines
fig.savefig('heatmap.png')
return fig
On replit.com, the error message is below:
======================================================================
FAIL: test_heat_map_values (test_module.HeatMapTestCase)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/runner/boilerplate-medical-data-visualizer/test_module.py", line 47, in test_heat_map_values
self.assertEqual(actual, expected, "Expected different values in heat map.")
AssertionError: Lists differ: ['0.0[607 chars] '0.2', '0.1', '0.1', '-0.0', '0.0', '-0.0', '0.1', '', '', ''] != ['0.0[607 chars] '0.2', '0.1', '0.1', '-0.0', '0.0', '-0.0', '0.1']
First list contains 3 additional elements.
First extra element 91:
''
Diff is 989 characters long. Set self.maxDiff to None to see it. : Expected different values in heat map.
----------------------------------------------------------------------
On my local computer, below is the result:
.['0.0', '0.0', '-0.0', '0.0', '-0.1', '0.5', '0.0', '0.1', '0.1', '0.3', '0.0', '0.0', '0.0', '0.0', '0.0', '0.0', '0.2', '0.1', '0.0', '0.2', '0.1', '0.0', '0.1', '-0.0', '-0.1', '0.1', '0.0', '0.2', '0.0', '0.1', '-0.0', '-0.0', '0.1', '0.0', '0.1', '0.4', '-0.0', '-0.0', '0.3', '0.2', '0.1', '-0.0', '0.0', '0.0', '-0.0', '-0.0', '-0.0', '0.2', '0.1', '0.1', '0.0', '0.0', '0.0', '0.0', '0.3', '0.0', '-0.0', '0.0', '-0.0', '-0.0', '-0.0', '0.0', '0.0', '-0.0', '0.0', '0.0', '0.0', '0.2', '0.0', '-0.0', '0.2', '0.1', '0.3', '0.2', '0.1', '-0.0', '-0.0', '-0.0', '-0.0', '0.1', '-0.1', '-0.1', '0.7', '0.0', '0.2', '0.1', '0.1', '-0.0', '0.0', '-0.0', '0.1']
.
----------------------------------------------------------------------
Ran 4 tests in 1.211s
Below is the replit.com link for this:
boilerplate-medical-data-visualizer - Replit
Your browser information:
User Agent is: Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:108.0) Gecko/20100101 Firefox/108.0
Challenge: Data Analysis with Python Projects - Medical Data Visualizer
Link to the challenge: