Input/output

Pickling

read_pickle(path[, compression])Load pickled pandas object (or any object) from file.

Flat file

read_table(filepath_or_buffer, pathlib.Path, …)Read general delimited file into DataFrame.
read_csv(filepath_or_buffer, pathlib.Path, …)Read a comma-separated values (csv) file into DataFrame.
read_fwf(filepath_or_buffer, pathlib.Path, …)Read a table of fixed-width formatted lines into DataFrame.
read_msgpack(path_or_buf[, encoding, iterator])(DEPRECATED) Load msgpack pandas object from the specified file path.

Clipboard

read_clipboard([sep])Read text from clipboard and pass to read_csv.

Excel

read_excel(io[, sheet_name, header, names, …])Read an Excel file into a pandas DataFrame.
ExcelFile.parse(self[, sheet_name, header, …])Parse specified sheet(s) into a DataFrame
ExcelWriter(path[, engine, date_format, …])Class for writing DataFrame objects into excel sheets, default is to use xlwt for xls, openpyxl for xlsx.

JSON

read_json([path_or_buf, orient, typ, dtype, …])Convert a JSON string to pandas object.
json_normalize(data, List[Dict]], …)Normalize semi-structured JSON data into a flat table.
build_table_schema(data[, index, …])Create a Table schema from data.

HTML

read_html(io[, match, flavor, header, …])Read HTML tables into a list of DataFrame objects.

HDFStore: PyTables (HDF5)

read_hdf(path_or_buf[, key, mode])Read from the store, close it if we opened it.
HDFStore.put(self, key, value[, format, append])Store object in HDFStore
HDFStore.append(self, key, value[, format, …])Append to Table in file.
HDFStore.get(self, key)Retrieve pandas object stored in file
HDFStore.select(self, key[, where, start, …])Retrieve pandas object stored in file, optionally based on where criteria
HDFStore.info(self)Print detailed information on the store.
HDFStore.keys(self)Return a (potentially unordered) list of the keys corresponding to the objects stored in the HDFStore.
HDFStore.groups(self)return a list of all the top-level nodes (that are not themselves a pandas storage object)
HDFStore.walk(self[, where])Walk the pytables group hierarchy for pandas objects

Feather

read_feather(path[, columns, use_threads])Load a feather-format object from the file path.

Parquet

read_parquet(path[, engine, columns])Load a parquet object from the file path, returning a DataFrame.

SAS

read_sas(filepath_or_buffer[, format, …])Read SAS files stored as either XPORT or SAS7BDAT format files.

SQL

read_sql_table(table_name, con[, schema, …])Read SQL database table into a DataFrame.
read_sql_query(sql, con[, index_col, …])Read SQL query into a DataFrame.
read_sql(sql, con[, index_col, …])Read SQL query or database table into a DataFrame.

Google BigQuery

read_gbq(query[, project_id, index_col, …])Load data from Google BigQuery.

STATA

read_stata(filepath_or_buffer[, …])Read Stata file into DataFrame.
StataReader.data(self, **kwargs)(DEPRECATED) Read observations from Stata file, converting them into a dataframe
StataReader.data_labelReturn data label of Stata file.
StataReader.value_labels(self)Return a dict, associating each variable name a dict, associating each value its corresponding label.
StataReader.variable_labels(self)Return variable labels as a dict, associating each variable name with corresponding label.
StataWriter.write_file(self)