I show bar chart image with this code.
print(df['a'][1:].astype(int).plot.bar())
The image is very small I try to resize image by using matplotlib like this code.
plt.figure(figsize=(4,3))
plt.plot(df['a'][1:].astype(int).sum())
when I run I show empty image without bar chart. How to fix it?
The reason that it is empty is that your df['a'][1:], is a 1d vector (a pd.Series). The sum of that, is a scalar. You cannot plot a scalar.
I think for a bar chart, you need plt.bar(df['a'][1:]).
As for the figure size, you have the figsize command, like you note in the question.
Maybe you can give, even bigger integer parameters to the figsize
For instance:
plt.figure(figsize=(18, 5))
Here is an example:
import matplotlib.pyplot as plt
f, ax = plt.subplots(figsize=(18,5)) # set the size that you'd like (width, height)
plt.bar([1,2,3,4], [0.1,0.2,0.3,0.4], label = 'first bar')
plt.bar([5,6,7,8], [0.4,0.3,0.2,0.1], label = 'second bar')
ax.legend(fontsize = 14)
plt.show()
i would basically compute the data for x and y before. It seems that the plot is empty because it is only a scalar. The following code works:
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
df = pd.DataFrame(np.array([1,2,3,4,5,5,6]), columns=['x'])
df['y'] = df['x'][1:].astype(int).sum()
#Change your fig size here
fig = plt.figure(figsize=(10,8))
plt.bar(df.x, df.y)
plt.show()
You could set the size with figsize
import matplotlib.pyplot as plt
f, ax = plt.subplots(figsize=(18,5)) # set the size that you'd like (width, height)
plt.bar([1,2,3,4], [0.1,0.2,0.3,0.4], label = 'first bar')
plt.bar([10,11,12,13], [0.4,0.3,0.2,0.1], label = 'second bar')
ax.legend(fontsize = 14)
