【发布时间】:2020-05-05 18:51:00
【问题描述】:
这段代码在一个地方工作,但在另一个地方抛出错误,不知道为什么我会遇到以下错误:
plt.suptitle plt.suptitle(dataset.columns[i] + '(xyz)', fontsize=10)
TypeError:只能将元组(不是“str”)连接到元组
import numpy as np
import matplotlib.pyplot as plt
dataset = df
dfsize = dataset[df.columns[0]].size
x = []
for i in range(dfsize):
x.append(i)
dataset.shape
# dataset.dropna(inplace=True)
dataset.columns.values
var = ""
for i in range(dataset.shape[1]): ## 1 is for column, dataset.shape[1] calculate length of col
y = dataset[dataset.columns[i]].values
y = y.astype(float)
y = y.reshape(-1, 1)
y.shape
from sklearn.impute import SimpleImputer
missingvalues = SimpleImputer(missing_values=np.nan, strategy='mean', verbose=0)
missingvalues = missingvalues.fit(y)
y = missingvalues.transform(y[:, :])
from sklearn.preprocessing import LabelEncoder, OneHotEncoder
from sklearn.compose import ColumnTransformer
labelencoder_x = LabelEncoder()
x = labelencoder_x.fit_transform(x)
from scipy.interpolate import *
p1 = np.polyfit(x, y, 1)
# from matplotlib.pyplot import *
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
plt.figure()
plt.xticks(x, months, rotation=25,fontsize=8)
plt.suptitle(dataset.columns[i] + ' (xyz)', fontsize=10)
我认为我的问题是由于错误的数据框:
工作数据框是:
in month
AM April NaN
February 100.0
January 99.0
错误的数据框:
Verify the countDays
Assign month
AD April 48.86
February 4.76
January 14.70
【问题讨论】:
标签: python python-3.x pandas numpy matplotlib