我正在尝试使用pandas数据框绘制图形。代码在
之下import pandas as pd
import numpy as np
from IPython.display import display
movies = pd.read_csv('data/movie.csv')
director = movies['director_name']
director.to_frame().head()
director_name
0 James Cameron
1 Gore Verbinski
2 Sam Mendes
3 Christopher Nolan
4 Doug Walker
director.value_counts()
Steven Spielberg 26
Woody Allen 22
Clint Eastwood 20
Martin Scorsese 20
..
James Nunn 1
Gerard Johnstone 1
Ethan Maniquis 1
Antony Hoffman 1
Name: director_name, Length: 2397, dtype: int64
我想在director_name
和director value counts
之间绘制一个折线图。
import matplotlib.pyplot as plt
%matplotlib inline
df_list = list(director)
# print(df_list)
x = df_list
y = list(director.value_counts())
plt.figure(figsize=(15,3))
plt.plot(x, y)
plt.ylim(0, 100)
plt.xlabel('X Axis')
plt.ylabel('Y axis')
plt.title('Line Plot')
plt.suptitle('Figure Title', size=20, y=1.03)
我收到以下错误。我做错了什么?
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-70-186ebd6b22d9> in <module>()
8
9 plt.figure(figsize=(15,3))
---> 10 plt.plot(x, y)
11 #plt.xlim(0, 10)
12 plt.ylim(0, 100)
~/anaconda/lib/python3.6/site-packages/matplotlib/pyplot.py in plot(*args, **kwargs)
3238 mplDeprecation)
3239 try:
-> 3240 ret = ax.plot(*args, **kwargs)
3241 finally:
3242 ax._hold = washold
~/anaconda/lib/python3.6/site-packages/matplotlib/__init__.py in inner(ax, *args, **kwargs)
1708 warnings.warn(msg % (label_namer, func.__name__),
1709 RuntimeWarning, stacklevel=2)
-> 1710 return func(ax, *args, **kwargs)
1711 pre_doc = inner.__doc__
1712 if pre_doc is None:
~/anaconda/lib/python3.6/site-packages/matplotlib/axes/_axes.py in plot(self, *args, **kwargs)
1435 kwargs = cbook.normalize_kwargs(kwargs, _alias_map)
1436
-> 1437 for line in self._get_lines(*args, **kwargs):
1438 self.add_line(line)
1439 lines.append(line)
~/anaconda/lib/python3.6/site-packages/matplotlib/axes/_base.py in _grab_next_args(self, *args, **kwargs)
402 this += args[0],
403 args = args[1:]
--> 404 for seg in self._plot_args(this, kwargs):
405 yield seg
406
~/anaconda/lib/python3.6/site-packages/matplotlib/axes/_base.py in _plot_args(self, tup, kwargs)
382 x, y = index_of(tup[-1])
383
--> 384 x, y = self._xy_from_xy(x, y)
385
386 if self.command == 'plot':
~/anaconda/lib/python3.6/site-packages/matplotlib/axes/_base.py in _xy_from_xy(self, x, y)
241 if x.shape[0] != y.shape[0]:
242 raise ValueError("x and y must have same first dimension, but "
--> 243 "have shapes {} and {}".format(x.shape, y.shape))
244 if x.ndim > 2 or y.ndim > 2:
245 raise ValueError("x and y can be no greater than 2-D, but have "
ValueError: x and y must have same first dimension, but have shapes (4916,) and (2397,)
答案 0 :(得分:1)
您的x = df_list
和y = list(director.value_counts())
维度不同。您不需要x = df_list
,因为y
已包含您要查找的信息。
使用此:
labels = director.value_counts().index.values // Use this for xtick labels
y = list(director.value_counts())
maxY = max(y);
x = range(len(y))
...
ax = plt.plot(x, y, '-', grid=True, color='blue')
ax.set_xticks(range(len(y)))
ax.set_xticklabels(labels)
答案 1 :(得分:0)