CODEWITHSUNDEEP
pythonmatplotlib
E199504
E199504

Reputation: 415

Multiple graphs instead one using Matplotlib

The code below takes a dataframe filters by a string in a column and then plot the values of another column

I plot the values of the using histogram and than worked fine until I added Mean, Median and standard deviation but now I am just getting an empty graph where instead the all of the variables mentioned below should be plotted in one graph together with their labels

import pandas as pd
import matplotlib.pyplot as plt
from matplotlib import pyplot as plt
from matplotlib import pyplot as plt
import numpy as np

df = pd.read_csv(r'C:/Users/output.csv', delimiter=";", encoding='unicode_escape')
df['Plot_column'] = df['Plot_column'].str.split(',').str[0]
df['Plot_column'] = df['Plot_column'].astype('int64', copy=False)

X=df[df['goal_colum']=='start running']['Plot_column'].values


dev_x= X
mean_=np.mean(dev_x)
median_=np.median(dev_x)
standard_=np.std(dev_x)

plt.hist(dev_x, bins=5)
plt.plot(mean_, label='Mean')
plt.plot(median_, label='Median')
plt.plot(standard_, label='Std Deviation')



plt.title('Data')

Upvotes: 3

Views: 1706

Answers (1)

Mohammad Athar
Mohammad Athar

Reputation: 1980

https://matplotlib.org/3.1.1/gallery/statistics/histogram_features.html

There are two major ways to plot in matplotlib, pyplot (the easy way) and ax (the hard way). Ax lets you customize your plot more and you should work to move towards that. Try something like the following

num_bins = 50

fig, ax = plt.subplots()

# the histogram of the data
n, bins, patches = ax.hist(dev_x, num_bins, density=1)

ax.plot(np.mean(dev_x))
ax.plot(np.median(dev_x))
ax.plot(np.std(dev_x))

# Tweak spacing to prevent clipping of ylabel
fig.tight_layout()
plt.show()

Upvotes: 2

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