如何在python中创建图形后更改散布的轴限制_Python_Pandas_Matplotlib_Seaborn

如何在python中创建图形后更改散布的轴限制

python pandas matplotlib

如何在python中创建图形后更改散布的轴限制,python,pandas,matplotlib,seaborn,Python,Pandas,Matplotlib,Seaborn,我想创建一个NFL场地的图，然后在上面画一个散点图。这是我的字段代码（只需复制粘贴所有这些内容。这不是我的问题所在）：如果你运行这个，它应该工作得很好！现在，我有了我想在上面绘制的数据集。下面是一个例子： data posteam yardline_100 epa 0 MIN 1.0 0.343304 1 MIN 2.0 0.340690 2 MIN 3.0 0.128643 3

我想创建一个NFL场地的图，然后在上面画一个散点图。这是我的字段代码（只需复制粘贴所有这些内容。这不是我的问题所在）：

如果你运行这个，它应该工作得很好！现在，我有了我想在上面绘制的数据集。下面是一个例子：

data

  posteam   yardline_100    epa
0   MIN         1.0       0.343304
1   MIN         2.0       0.340690
2   MIN         3.0       0.128643
3   MIN         4.0       0.747664
4   MIN         5.0      -0.190321
5   MIN         6.0       0.265953
6   MIN         7.0      -0.362923
7   MIN         8.0      -0.684526
8   MIN         9.0      -0.107560
9   MIN         10.0      0.263269
10  MIN         11.0     -0.042605
11  MIN         12.0      0.126719
12  MIN         13.0     -0.531782
13  MIN         14.0     -0.329170
14  MIN         15.0      0.608268

我试图将以下代码添加到字段绘图中，但没有成功

新增代码：


plt.title('The gridiron', fontsize=14)
plt.ylabel('EPA', fontsize=12)
plt.xlabel('Yardline', fontsize=12)

ax.set_yticks(np.arange(-5, 6,1))

ax.scatter(x='yardline_100',y='epa',data=data)

整个过程和输出：

# Create figure
fig, ax = pl.subplots(figsize=(15,10))

# Set field dimensions
plt.xlim(0, 120)  # Field length including endzones
plt.ylim(0, 53.3)  # field width

# Set field color green
ax.set_facecolor('#79af75')
ax.set_alpha(0.5)

# Print lines
for i in range(0, 120, 10):
    plt.axvline(i, color='white', linewidth=3, alpha=0.4, zorder=1)
    if i == 10 or i == 110:  # Make endzone lines
        plt.axvline(i, color='white', linewidth=5, alpha=0.4, zorder=1)

# Paint numbers
yds_from_sideline = 12
for i in range(10, 50, 10):
    plt.text(i+10, 53.3-yds_from_sideline, str(i), color='white', fontsize=20, verticalalignment='bottom', horizontalalignment='center', rotation=180)
    plt.text(110-i, 53.3-yds_from_sideline,  str(i), color='white', fontsize=20, verticalalignment='bottom', horizontalalignment='center', rotation=180)

    plt.text(i+10, yds_from_sideline, str(i), color='white', fontsize=20, verticalalignment='bottom', horizontalalignment='center')
    plt.text(110-i, yds_from_sideline, str(i), color='white', fontsize=20, verticalalignment='bottom', horizontalalignment='center')

# Paint 50 yard line numbers
plt.text(60, 53.3-yds_from_sideline, str(50), color='white', fontsize=20, verticalalignment='bottom', horizontalalignment='center', rotation=180)
plt.text(60, yds_from_sideline, str(50), color='white', fontsize=20, verticalalignment='bottom', horizontalalignment='center')

# Print something in the endzones

plt.text(5, 26.5, 'Vikings', color='#4F2683', fontsize=30, verticalalignment='center', horizontalalignment='center', rotation=90)
plt.text(115, 26.5, 'Opponent', color='black', fontsize=30, verticalalignment='center', horizontalalignment='center', rotation=270)

# Just showing how to set titles and labels
plt.title('The gridiron', fontsize=14)
plt.ylabel('EPA', fontsize=12)
plt.xlabel('Yardline', fontsize=12)

plt.title('The gridiron', fontsize=14)
plt.ylabel('EPA', fontsize=12)
plt.xlabel('Yardline', fontsize=12)

ax.set_yticks(np.arange(-5, 6,1))

ax.scatter(x='yardline_100',y='epa',data=data)


# Fix the aspect ratio (optional)
plt.gca().set_aspect(1)

# Display the figure
plt.show()

我真正想做的是缩放轴，使-5在y轴的底部，5在y轴的顶部，而不是将-5到5的范围在底部扭曲。此外，我想以同样的方式将x轴移动10个单位。也就是说，我希望散射从X=10开始，而不是从X=0开始。如果您需要进一步的澄清，请让我知道。谢谢

不确定这是否是最好的方法，但我首先将

ylim

缩放到您想要的范围（-5,5），然后将

plt.text（）

的码值从范围（0,53.3）缩放到范围（-5,5），相应地调整

plt.text（）

中的顶部/底部值（从53.3到5，从0到-5）。最后更改了

ax.scatter（）

以直接引用数据列，因此在x轴上的偏移量只增加了10。此外，还删除了设置方面（1）

这样一来，你就不会在一开始就创建一个过大的数字，然后你就必须说服它服从

Code（更改前加注释#此处更改！！！：

import matplotlib.pyplot as plt
import pylab as pl
import numpy as np

# Create figure
fig, ax = pl.subplots(figsize=(15,10))

# Set field dimensions
plt.xlim(0, 120)  # Field length including endzones

# CHANGES HERE !!!
# set ylim respective to your data
plt.ylim(-5, 5)  # field width

# Set field color green
ax.set_facecolor('#79af75')
ax.set_alpha(0.5)

# Print lines
for i in range(0, 120, 10):
    plt.axvline(i, color='white', linewidth=3, alpha=0.4, zorder=1)
    if i == 10 or i == 110:  # Make endzone lines
        plt.axvline(i, color='white', linewidth=5, alpha=0.4, zorder=1)

# Paint numbers
yds_from_sideline = 12
for i in range(10, 50, 10):
#   CHANGES HERE !!!
#   change y values because ylim has changed (top-ylim - yds_from_sideline translated to scale of ylim)
    plt.text(i+10, 5-10*(yds_from_sideline/53.3), str(i), color='white', fontsize=20, verticalalignment='bottom', horizontalalignment='center', rotation=180)
    plt.text(110-i, 5-10*(yds_from_sideline/53.3),  str(i), color='white', fontsize=20, verticalalignment='bottom', horizontalalignment='center', rotation=180)

    plt.text(i+10, -5 + 10*(yds_from_sideline/53.3), str(i), color='white', fontsize=20, verticalalignment='bottom', horizontalalignment='center')
    plt.text(110-i, -5 + 10*(yds_from_sideline/53.3), str(i), color='white', fontsize=20, verticalalignment='bottom', horizontalalignment='center')

# Paint 50 yard line numbers
# CHANGES HERE !!!
# change y values here as well
plt.text(60, 5-10*(yds_from_sideline/53.3), str(50), color='white', fontsize=20, verticalalignment='bottom', horizontalalignment='center', rotation=180)
plt.text(60, -5+10*(yds_from_sideline/53.3), str(50), color='white', fontsize=20, verticalalignment='bottom', horizontalalignment='center')

# Print something in the endzones

plt.text(5, 0, 'Vikings', color='#4F2683', fontsize=30, verticalalignment='center', horizontalalignment='center', rotation=90)
plt.text(115, 0, 'Opponent', color='black', fontsize=30, verticalalignment='center', horizontalalignment='center', rotation=270)

# Just showing how to set titles and labels
plt.title('The gridiron', fontsize=14)
plt.ylabel('EPA', fontsize=12)
plt.xlabel('Yardline', fontsize=12)

plt.title('The gridiron', fontsize=14)
plt.ylabel('EPA', fontsize=12)
plt.xlabel('Yardline', fontsize=12)

ax.set_yticks(np.arange(-5, 6,1))

# CHANGES HERE !!!
# increase x by 10 to start at x = 10
ax.scatter(x=data['yardline_100']+10,y=data['epa'])



# # Fix the aspect ratio (optional)
# plt.gca().set_aspect(1)

# Display the figure
plt.show()

输出（使用示例数据）：

import matplotlib.pyplot as plt
import pylab as pl
import numpy as np

# Create figure
fig, ax = pl.subplots(figsize=(15,10))

# Set field dimensions
plt.xlim(0, 120)  # Field length including endzones

# CHANGES HERE !!!
# set ylim respective to your data
plt.ylim(-5, 5)  # field width

# Set field color green
ax.set_facecolor('#79af75')
ax.set_alpha(0.5)

# Print lines
for i in range(0, 120, 10):
    plt.axvline(i, color='white', linewidth=3, alpha=0.4, zorder=1)
    if i == 10 or i == 110:  # Make endzone lines
        plt.axvline(i, color='white', linewidth=5, alpha=0.4, zorder=1)

# Paint numbers
yds_from_sideline = 12
for i in range(10, 50, 10):
#   CHANGES HERE !!!
#   change y values because ylim has changed (top-ylim - yds_from_sideline translated to scale of ylim)
    plt.text(i+10, 5-10*(yds_from_sideline/53.3), str(i), color='white', fontsize=20, verticalalignment='bottom', horizontalalignment='center', rotation=180)
    plt.text(110-i, 5-10*(yds_from_sideline/53.3),  str(i), color='white', fontsize=20, verticalalignment='bottom', horizontalalignment='center', rotation=180)

    plt.text(i+10, -5 + 10*(yds_from_sideline/53.3), str(i), color='white', fontsize=20, verticalalignment='bottom', horizontalalignment='center')
    plt.text(110-i, -5 + 10*(yds_from_sideline/53.3), str(i), color='white', fontsize=20, verticalalignment='bottom', horizontalalignment='center')

# Paint 50 yard line numbers
# CHANGES HERE !!!
# change y values here as well
plt.text(60, 5-10*(yds_from_sideline/53.3), str(50), color='white', fontsize=20, verticalalignment='bottom', horizontalalignment='center', rotation=180)
plt.text(60, -5+10*(yds_from_sideline/53.3), str(50), color='white', fontsize=20, verticalalignment='bottom', horizontalalignment='center')

# Print something in the endzones

plt.text(5, 0, 'Vikings', color='#4F2683', fontsize=30, verticalalignment='center', horizontalalignment='center', rotation=90)
plt.text(115, 0, 'Opponent', color='black', fontsize=30, verticalalignment='center', horizontalalignment='center', rotation=270)

# Just showing how to set titles and labels
plt.title('The gridiron', fontsize=14)
plt.ylabel('EPA', fontsize=12)
plt.xlabel('Yardline', fontsize=12)

plt.title('The gridiron', fontsize=14)
plt.ylabel('EPA', fontsize=12)
plt.xlabel('Yardline', fontsize=12)

ax.set_yticks(np.arange(-5, 6,1))

# CHANGES HERE !!!
# increase x by 10 to start at x = 10
ax.scatter(x=data['yardline_100']+10,y=data['epa'])



# # Fix the aspect ratio (optional)
# plt.gca().set_aspect(1)

# Display the figure
plt.show()