Question

我如何从内部得到安达斯造地的彩色。数据框架?

这里是产生有色谱块的例子:

import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
import itertools as it

# [ (0,0), (0,1), ..., (9,9) ]
xy_positions = list( it.product( range(10), range(10) ) )

df = pd.DataFrame( xy_positions, columns=[ x , y ] )

# draw 100 floats
df[ score ] = np.random.random( 100 )

ax = df.plot( kind= scatter ,
              x= x ,
              y= y ,
              c= score ,
              s=500)
ax.set_xlim( [-0.5,9.5] )
ax.set_ylim( [-0.5,9.5] )

plt.show()

which gives me a figure like this:

我如何利用肤色来操纵它,例如改变标签或制定标准?

Answer 1

因此,我们必须确定:

查阅<代码>figure例:即plt.gcf()

In [61]:

import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
import itertools as it

# [ (0,0), (0,1), ..., (9,9) ]
xy_positions = list( it.product( range(10), range(10) ) )

df = pd.DataFrame( xy_positions, columns=[ x , y ] )

# draw 100 floats
df[ score ] = np.random.random( 100 )

ax = df.plot( kind= scatter ,
              x= x ,
              y= y ,
              c= score ,
              s=500)
ax.set_xlim( [-0.5,9.5] )
ax.set_ylim( [-0.5,9.5] )

f = plt.gcf()

2、这一数字有多少轴心?

In [62]:

f.get_axes()
Out[62]:
[<matplotlib.axes._subplots.AxesSubplot at 0x120a4d450>,
 <matplotlib.axes._subplots.AxesSubplot at 0x120ad0050>]

3. 第一个轴心(即第一个轴心)包含地块。

In [63]:

ax
Out[63]:
<matplotlib.axes._subplots.AxesSubplot at 0x120a4d450>

因此,第二轴是彩票。

In [64]:

cax = f.get_axes()[1]
#and we can modify it, i.e.:
cax.set_ylabel( test )

Answer 2

It s not quite the same but you could just plot using matplotlib:

import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
import itertools as it

# [ (0,0), (0,1), ..., (9,9) ]
xy_positions = list( it.product( range(10), range(10) ) )

df = pd.DataFrame( xy_positions, columns=[ x , y ] )

# draw 100 floats
df[ score ] = np.random.random( 100 )

fig = plt.figure()
ax = fig.add_subplot(111)

s = ax.scatter(df.x, df.y, c=df.score, s=500)
cb = plt.colorbar(s)
cb.set_label( desired_label )

ax.set_xlim( [-0.5,9.5] )
ax.set_ylim( [-0.5,9.5] )

plt.show()

Answer 3

回答原来的问题:你可以制定<代码>colorbar=False并单独生成。它需要一个“可适用”的物体,即含有色图信息的试剂。这里存放在<条码>轴心中。由于cbar = plt.colorbar(......)的回报值,你可进入彩票和ax。

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

# [ (0,0), (0,1), ..., (9,9) ]
df = pd.DataFrame({ x : np.repeat(range(10), 10),  y : np.tile(range(10), 10)})

# draw 100 floats
df[ score ] = np.random.random(100)

ax = df.plot(kind= scatter ,
             x= x ,
             y= y ,
             c= score ,
             s=500,
             cmap= RdYlGn ,
             vmin=0,
             vmax=1,
             colorbar=False)
ax.set_xlim([-0.5, 9.5])
ax.set_ylim([-0.5, 9.5])
ax.xaxis.set_major_locator(MultipleLocator(1))
ax.yaxis.set_major_locator(MultipleLocator(1))
cbar = plt.colorbar(ax.collections[0], ax=ax)
cbar.set_ticks([0, 0.5, 1])
cbar.set_ticklabels([ low ,  medium ,  high ])
cbar.ax.set_title( Score , ha= left )

plt.tight_layout()
plt.show()

友情链接