index/columns/values,分别对应了行标签、列标签和数据,其中数据就是一个格式向上兼容所有列数据类型的array。为了沿袭字典中的访问习惯,还可以用keys()访问标签信息,在series返回index标签,在dataframe中则返回columns列名;可以用items()访问键值对,但一般用处不大。 这里提到了index和columns分别代表行标签和列标签,就...
Then series[series] will return only the elements where the value is True: 0 True 2 True 4 True dtype: bool .index: The .index attribute of a Series returns the index labels of the Series. Applying .index to the filtered Series (series[series]) will give you the indices of the True...
239 True 240 True 241 True 242 True 243 True Name: time, Length: 244, dtype: bool In [4]: is_dinner.value_counts() Out[4]: time True 176 False 68 Name: count, dtype: int64 In [5]: tips[is_dinner] Out[5]: total_bill tip sex smoker day time size 0 14.99 1.01 Female No S...
in Flags.allows_duplicate_labels(self, value) 94 if not value: 95 for ax in obj.axes: ---> 96 ax._maybe_check_unique() 98 self._allows_duplicate_labels = value File ~/work/pandas/pandas/pandas/core/indexes/base.py:715, in Index._maybe_check_unique(...
df['a'].value_counts(dropna=False) df.a.value_counts().plot(kind='bar', title = 'title', xlabel='Frequency') df.a.value_counts().plot(kind='pie') ## 类似于Series的画图。Values画图,index作为 x 轴的 ticks 单变量画图,直方图:df['income'].hist(); 双变量画图,散点图:df.scatter(x...
File ~/work/pandas/pandas/pandas/core/series.py:1237,inSeries._get_value(self, label, takeable)1234returnself._values[label]1236# Similar to Index.get_value, but we do not fall back to positional->1237loc = self.index.get_loc(label)1239ifis_integer(loc):1240returnself._values[loc] ...
[label] 1236 # Similar to Index.get_value, but we do not fall back to positional -> 1237 loc = self.index.get_loc(label) 1239 if is_integer(loc): 1240 return self._values[loc] File ~/work/pandas/pandas/pandas/core/indexes/base.py:3812, in Index.get_loc(self, key) 3807 if ...
type"] = df.apply(get_wendu_type, axis=1) # 查看温度类型的计数 df["wendu_type"].value...
你可以用argmax (df['Value'] > 45).argmax() # 4(df['Value'] > 22).argmax() # 2(df['Value'] > 60).argmax() # 6 这假设'Value'已排序,但它可以工作,因为比较的结果是布尔数组,所以它返回第一个True值的索引。 Edit 更严格地说,我们可以支持大于数组中任何值的数字: tmp = (df['Valu...
df.to_excel("path_to_file.xlsx", index_label="label", merge_cells=False)• 1 为了将单独的DataFrame写入单个 Excel 文件的不同工作表中,可以传递一个ExcelWriter。 with pd.ExcelWriter("path_to_file.xlsx") as writer:df1.to_excel(writer, sheet_name="Sheet1")df2.to_excel(writer, sheet_...