# Data Analysis with Python Projects - Medical Data Visualizer

Tell us what’s happening:
hello I have been struggling for a while with this project, even though I ran the program on jupyter and the cat_plot and heat map are identical to the examples in replit
I still get 2 errors and 1 fail, I dont know what am I doing wrong

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

# Import data

df['overweight'] = df['weight']/((df['height']/100)**2)

# 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.loc[df['overweight']<=25,'overweight']=0
df.loc[df['overweight']>25,'overweight']=1
df.loc[df["cholesterol"] == 1, "cholesterol"] = 0
df.loc[df["cholesterol"] > 1, "cholesterol"] = 1
df.loc[df["gluc"] == 1, "gluc"] = 0
df.loc[df["gluc"] > 1, "gluc"] = 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=['active','alco','cholesterol','gluc','overweight','smoke'])

# 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.

# Draw the catplot with 'sns.catplot()'

# Get the figure for the output
fig = sns.catplot(data=df_cat, x="variable",hue='value',col='cardio', kind="count")

# 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
matrix = np.triu(corr)

# Set up the matplotlib figure

# Draw the heatmap with 'sns.heatmap()'
x_axis_labels = ['id', 'age', 'sex', 'height', 'weight', 'ap_hi', 'ap_lo', 'cholesterol', 'gluc', 'smoke', 'alco', 'active', 'cardio', 'overweight'] # labels for x-axis
y_axis_labels =  ['id', 'age', 'sex', 'height', 'weight', 'ap_hi', 'ap_lo', 'cholesterol', 'gluc', 'smoke', 'alco', 'active', 'cardio', 'overweight']
fig, ax = plt.subplots( figsize=(10,8) )

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

``````

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