In [1]: dates = pd.date_range('1/1/2000', periods=8) In [2]: df = pd.DataFrame(np.random.randn(8, 4), ...: index=dates, columns=['A', 'B', 'C', 'D']) ...: In [3]: df Out[3]: A B C D 2000-01-01 0.469112 -0.282863
In this example, we displayed the second row of thedfDataFrame by its index value (1) using the.ilocproperty. To learn more, please visit thePandas Indexing and Slicingarticle. Get DataFrame Index We can access the DataFrame Index using theindexattribute. For example, importpandasaspd# create ...
'suresh','Rahul','Krish','vihan'],'Address':['Haridwar','Mohali','mohali','Mohali','saharanpur']})# Display original dataframeprint(" Original dataframe ")print(df)# Display last index value of 0 index columnprint("last index value of 0 index column is ",df.iat[-1,0])...
a5b2c3dtype: int64 In [20]: dfa.A = list(range(len(dfa.index))) # okifA already exists In [21]: dfa Out[21]: A B C D2000-01-010-0.282863-1.509059-1.1356322000-01-021-0.1732150.119209-1.0442362000-01-032-2.104569-0.4949291.0718042000-01-043-0.706771-1.0395750.2718602000-01-0540.56702...
df.info() <class 'pandas.core.frame.DataFrame'> RangeIndex: 6040 entries, 0 to 6039 Data columns (total 5 columns): UserID 6040 non-null int64 Gender 6040 non-null object Age 6040 non-null int64 Occupation 6040 non-null int64 Zip-code 6040 non-null object dtypes: int64(3), object(2...
classpandas.DataFrame(data=None,index=None,columns=None,dtype=None,copy=None) Two-dimensional, size-mutable, potentially heterogeneous tabular data. Data structurealso contains labeled axes (rows and columns). Arithmetic operations align on both row and column labels. Can be thought of as a dict-...
Access a single value for a row/column pair by integer position. DataFrame.loc Access a group of rows and columns by label(s). DataFrame.iloc Access a group of rows and columns by integer position(s). >>>df = pd.DataFrame([[1,2], [4,5], [7,8]],...index=['cobra','viper'...
DataFrame将以尽量模仿 REPL 输出的方式写入。index_label将放在第二行而不是第一行。您可以通过将to_excel()中的merge_cells选项设置为False将其放在第一行。 df.to_excel("path_to_file.xlsx", index_label="label", merge_cells=False)• 1
dataframe (using in indexing(...)4151 See the docstring of `take` for full explanation of the parameters.4152 """-> 4153 result = self.take(indices=indices, axis=axis)4154 # Maybe set copy if we didn't actually change the index.File ~/work/pandas/pandas/pandas/core/generic.py:4133,...
Single indexes for both row and column [1, 0] returns the content of that cell.Single index for one row [1] returns a Pandas Series.A list of indexes [[0, 2]] returns a Pandas DataFrame.❮ DataFrame Reference Track your progress - it's free! Log in Sign Up ...