matplotlib bar plot looks cutoff-CodePudding

i have a list of values representing 8 distributions.

When i run this code:

            for pidx in range(len(names)):
              name = names[pidx]
              ber = stm_df.loc[x, name].tolist()
              mx_ber = max([mx_ber]   ber)
              mn_ber = min([mn_ber]   ber)
              ber[0] = 0
              sr = pd.Series(ber,x)
              sr = sr[sr > 0]
              rect = axes[1].plot(sr.index, sr.values)

It looks as it should:

But, when i change from ".plot" to ".bar" they all look cutoff Code:

            for pidx in range(len(names)):
              name = names[pidx]
              ber = stm_df.loc[x, name].tolist()
              mx_ber = max([mx_ber]   ber)
              mn_ber = min([mn_ber]   ber)
              ber[0] = 0
              sr = pd.Series(ber,x)
              sr = sr[sr > 0]
              rect = axes[1].bar(sr.index, sr.values)

Results:

Everything else is the same. What is going on?

CodePudding user response：

It is hard to say with the info at hand, but I believe that the height parameter of your bar() may not be properly configured. The height should be configured as the max point of each distribution.

CodePudding user response：

If your goal is to color the area under your distribution curve, I would recommend using plt.fill_between as below.

# Color area under curve 
from matplotlib import pyplot as plt
import numpy as np

# Get x values of the curve (a sine wave in this case)
time = np.arange(0, 10, 0.1);

# Amplitude of the sine wave across time
amplitude = np.sin(time)

# Plot a curve with time and amplitude
plt.plot(time, amplitude, color='black')

# title
plt.title('Sine wave')

# x axis label
plt.xlabel('Time')

# y axis label
plt.ylabel('Amplitude')

# add midline
plt.axhline(y=0, color='k')¨

# fill area between midline across time and amplitude 
plt.fill_between(time, amplitude, color='cyan')

plt.show()

In your example, this would mean simply adding plt.fill_between(sr.index, sr.values, color=f'C{pidx}).

        for pidx in range(len(names)):
          name = names[pidx]
          ber = stm_df.loc[x, name].tolist()
          mx_ber = max([mx_ber]   ber)
          mn_ber = min([mn_ber]   ber)
          ber[0] = 0
          sr = pd.Series(ber,x)
          sr = sr[sr > 0]
          rect = axes[1].plot(sr.index, sr.values)
          plt.fill_between(sr.index, sr.values, color=f'C{pidx})