I'm trying to understand how pandas.DataFrame.plot works, but stuck on placing several subplots in a line. I feel pretty confused, so probably my question will sound weird. But I would be grateful for any help.
recent_grads.plot(x = "Women", y = "Median", kind = "scatter", subplots = True, figsize=(6, 6), layout = (2,2), sharex = False)
recent_grads.plot(x = "Men", y = "Median", kind = "scatter", subplots = True, figsize=(6, 6), layout = (2,2), sharex = False)
I'm getting my subplots on under another, but I want them in line.
u can use plt.subplots
from matplotlib.pyplot
import matplotlib.pyplot as plt
fig, ax = plt.subplots(nrows=1, ncols=2)
fig.set_size_inches(6, 6)
plt.subplots_adjust(wspace=0.2)
recent_grads.plot(x = "Women", y = "Median", kind = "scatter", ax=ax[0], sharex = False)
recent_grads.plot(x = "Men", y = "Median", kind = "scatter", ax=ax[1], sharex = False)
You just need to modify layout
:
recent_grads.plot(x = "Women", y = "Median", kind = "scatter", subplots = True, figsize=(6, 6), layout = (1, 1), sharex = False)
recent_grads.plot(x = "Men", y = "Median", kind = "scatter", subplots = True, figsize=(6, 6), layout = (1, 2), sharex = False)
Another way is to create Axes
objects and specify them explicitly:
from matplotlib import pyplot as plt
fig, axes = plt.subplots(nrows=1, ncols=2, figsize=(6, 6))
ax1, ax2 = axes
recent_grads.plot(x = "Women", y = "Median", kind = "scatter", ax=ax1)
recent_grads.plot(x = "Men", y = "Median", kind = "scatter", ax=ax2)
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