Tell us what’s happening: I am getting below error
Traceback (most recent call last):
File “/home/runner/boilerplate-medical-data-visualizer/main.py”, line 2, in
import medical_data_visualizer
File “/home/runner/boilerplate-medical-data-visualizer/medical_data_visualizer.py”, line 1, in
import pandas as pd
ModuleNotFoundError: No module named ‘pandas’
Your code so far
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
df[‘overweight’] = np.where((df[‘weight’]/(df[‘height’]/100)**2) > 25, 1, 0)
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”] = np.where(df[“cholesterol”] == 1, 0, 1)
df[“gluc”] = np.where(df[“gluc”] == 1, 0, 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 = pd.melt(df, 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["total"] = 1
df_cat = df_cat.groupby(["cardio", "variable", "value"], as_index= False).count()
# Draw the catplot with 'sns.catplot()'
# Get the figure for the output
fig = sns.catplot(x="variable", y="total", hue="value", data=df_cat, kind="bar", col="cardio").fig
# Do not modify the next two lines
fig.savefig('catplot.png')
return fig
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Challenge Information:
Data Analysis with Python Projects - Medical Data Visualizer