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Pythonデータ分析~pandas編~

Last updated at 2021-12-07Posted at 2021-12-07

この記事は、慶應理工アドベントカレンダー2021の7日目の記事です。
https://t.co/NOQgu1ypYl

今回はデータ分析入門ということで、Pythonでのデータ分析に欠かせないライブラリであるpandas、scikit-leran、matplotlibについて自分用の備忘録としてまとめてみたいと思います。

少し量が多いため、2つの記事に分けてまとめたいと思います。
今回の記事ではpandasについて紹介し、次回の記事ではscikit-learnとmatplotlibについてまとめます。

普段はよく使う属性やメソッドだけを学んで使用しておりましたが、私は体系的に学びたい人間なので、ひたすらpandasの属性とメソッドをまとめました。本記事はただのpandas公式リファレンスのまとめ記事になります。

#目次
1.pandas概要
 2.Seriesの属性とメソッド一覧
 3.DataFrameの属性とメソッド一覧

#pandas概要
pandasは、データ分析に強みを持つpythonのライブラリです。データの読み込みや、データの表示、データのグラフ化、データ分析、欠損値の操作、データの削除等の機能があります。pandasにはSeries、DataFrame、Panelというデータ構造があります。Seriesは1次元配列でindexラベルがあり、DataFrameは2次元配列でcolumnsラベルがあります。Panelは3次元配列です。Panelは3次元配列ですが、私は今のところ使っていないので本記事では説明は省略します。

#Seriesの属性とメソッド一覧
##コンストラクタ

Series([data, index, dtype, name, copy, ...])

##属性

Series.index
Series.array
Series.values
Series.dtype
Series.shape
Series.nbytes
Series.ndim
Series.size
Series.T
Series.memory_usage([index, deep])
Series.hasnans
Series.empty
Series.dtypes
Series.name
Series.flags
Series.set_flags(*[, copy, ...])

##型変換

Series.astype(dtype[, copy, errors])
Series.convert_dtypes([infer_objects, ...])
Series.infer_objects()
Series.copy([deep])
Series.bool()
Series.to_numpy([dtype, copy, na_value])
Series.to_period([freq, copy])
Series.to_timestamp([freq, how, copy])
Series.to_list()
Series.__array__([dtype])

##インデックス・繰り返し

Series.get(key[, default])
Series.at
Series.iat
Series.loc
Series.iloc
Series.__iter__()
Series.items()
Series.iteritems()
Series.keys()
Series.pop(item)
Series.item()
Series.xs(key[, axis, level, drop_level])

##バイナリ計算

Series.add(other[, level, fill_value, axis])
Series.sub(other[, level, fill_value, axis])
Series.mul(other[, level, fill_value, axis])
Series.div(other[, level, fill_value, axis])
Series.truediv(other[, level, fill_value, axis])
Series.floordiv(other[, level, fill_value, axis])
Series.mod(other[, level, fill_value, axis])
Series.pow(other[, level, fill_value, axis])
Series.radd(other[, level, fill_value, axis])
Series.rsub(other[, level, fill_value, axis])
Series.rmul(other[, level, fill_value, axis])
Series.rdiv(other[, level, fill_value, axis])
Series.rtruediv(other[, level, fill_value, axis])
Series.rfloordiv(other[, level, fill_value, ...])
Series.rmod(other[, level, fill_value, axis])
Series.rpow(other[, level, fill_value, axis])
Series.combine(other, func[, fill_value])
Series.combine_first(other)
Series.lt(other[, level, fill_value, axis])
Series.gt(other[, level, fill_value, axis])
Series.le(other[, level, fill_value, axis])
Series.ge(other[, level, fill_value, axis])
Series.ne(other[, level, fill_value, axis])
Series.eq(other[, level, fill_value, axis])
Series.product([axis, skipna, level, ...])
Series.dot(other)

##応用関数

Series.apply(func[, convert_dtype, args])
Series.agg([func, axis])
Series.aggregate([func, axis])
Series.transform(func[, axis])
Series.map(arg[, na_action])
Series.groupby([by, axis, level, as_index, ...])
Series.rolling(window[, min_periods, ...])
Series.expanding([min_periods, center, ...])
Series.ewm([com, span, halflife, alpha, ...])
Series.pipe(func, *args, **kwargs)

##計算

Series.abs()
Series.all([axis, bool_only, skipna, level])
Series.any([axis, bool_only, skipna, level])
Series.autocorr([lag])
Series.between(left, right[, inclusive])
Series.clip([lower, upper, axis, inplace])
Series.corr(other[, method, min_periods])
Series.count([level])
Series.cov(other[, min_periods, ddof])
Series.cummax([axis, skipna])
Series.cummin([axis, skipna])
Series.cumprod([axis, skipna])
Series.cumsum([axis, skipna])
Series.describe([percentiles, include, ...])
Series.diff([periods])
Series.factorize([sort, na_sentinel])
Series.kurt([axis, skipna, level, numeric_only])
Series.mad([axis, skipna, level])
Series.max([axis, skipna, level, numeric_only])
Series.mean([axis, skipna, level, numeric_only])
Series.median([axis, skipna, level, ...])
Series.min([axis, skipna, level, numeric_only])
Series.mode([dropna])
Series.nlargest([n, keep])
Series.nsmallest([n, keep])
Series.pct_change([periods, fill_method, ...])
Series.prod([axis, skipna, level, ...])
Series.quantile([q, interpolation])
Series.rank([axis, method, numeric_only, ...])
Series.sem([axis, skipna, level, ddof, ...])
Series.skew([axis, skipna, level, numeric_only])
Series.std([axis, skipna, level, ddof, ...])
Series.sum([axis, skipna, level, ...])
Series.var([axis, skipna, level, ddof, ...])
Series.kurtosis([axis, skipna, level, ...])
Series.unique()
Series.nunique([dropna])
Series.is_unique
Series.is_monotonic
Series.is_monotonic_increasing
Series.is_monotonic_decreasing
Series.value_counts([normalize, sort, ...])

##選択・削除

Series.align(other[, join, axis, level, ...])
Series.drop([labels, axis, index, columns, ...])
Series.droplevel(level[, axis])
Series.drop_duplicates([keep, inplace])
Series.duplicated([keep])
Series.equals(other)
Series.first(offset)
Series.head([n])
Series.idxmax([axis, skipna])
Series.idxmin([axis, skipna])
Series.isin(values)
Series.last(offset)
Series.reindex([index])
Series.reindex_like(other[, method, copy, ...])
Series.rename([index, axis, copy, inplace, ...])
Series.rename_axis([mapper, index, columns, ...])
Series.reset_index([level, drop, name, inplace])
Series.sample([n, frac, replace, weights, ...])
Series.set_axis(labels[, axis, inplace])
Series.take(indices[, axis, is_copy])
Series.tail([n])
Series.truncate([before, after, axis, copy])
Series.where(cond[, other, inplace, axis, ...])
Series.mask(cond[, other, inplace, axis, ...])
Series.add_prefix(prefix)
Series.add_suffix(suffix)
Series.filter([items, like, regex, axis])

##欠損データ処理

Series.backfill([axis, inplace, limit, downcast])
Series.bfill([axis, inplace, limit, downcast])
Series.dropna([axis, inplace, how])
Series.fillna([value, method, axis, ...])
Series.interpolate([method, axis, limit, ...])
Series.isna()
Series.isnull()
Series.notna()
Series.notnull()
Series.pad([axis, inplace, limit, downcast])
Series.replace([to_replace, value, inplace, ...])

##変形・ソート

Series.argsort([axis, kind, order])
Series.argmin([axis, skipna])
Series.argmax([axis, skipna])
Series.reorder_levels(order)
Series.sort_values([axis, ascending, ...])
Series.sort_index([axis, level, ascending, ...])
Series.swaplevel([i, j, copy])
Series.unstack([level, fill_value])
Series.explode([ignore_index])
Series.searchsorted(value[, side, sorter])
Series.ravel([order])
Series.repeat(repeats[, axis])
Series.squeeze([axis])
Series.view([dtype])

##組み合わせ・比較・結合

Series.append(to_append[, ignore_index, ...])
Series.compare(other[, align_axis, ...])
Series.update(other)

##時間関連

Series.asfreq(freq[, method, how, ...])
Series.asof(where[, subset])
Series.shift([periods, freq, axis, fill_value])
Series.first_valid_index()
Series.last_valid_index()
Series.resample(rule[, axis, closed, label, ...])
Series.tz_convert(tz[, axis, level, copy])
Series.tz_localize(tz[, axis, level, copy, ...])
Series.at_time(time[, asof, axis])
Series.between_time(start_time, end_time[, ...])
Series.tshift([periods, freq, axis])
Series.slice_shift([periods, axis])

##時間属性

Series.dt.date
Series.dt.time
Series.dt.timetz
Series.dt.year
Series.dt.month
Series.dt.day
Series.dt.hour
Series.dt.minute
Series.dt.second
Series.dt.microsecond
Series.dt.nanosecond
Series.dt.week
Series.dt.weekofyear
Series.dt.dayofweek
Series.dt.day_of_week
Series.dt.weekday
Series.dt.dayofyear
Series.dt.day_of_year
Series.dt.quarter
Series.dt.is_month_start
Series.dt.is_month_end
Series.dt.is_quarter_start
Series.dt.is_quarter_end
Series.dt.is_year_start
Series.dt.is_year_end
Series.dt.is_leap_year
Series.dt.daysinmonth
Series.dt.days_in_month
Series.dt.tz
Series.dt.freq
Series.dt.qyear
Series.dt.start_time
Series.dt.end_time
Series.dt.days
Series.dt.seconds
Series.dt.microseconds
Series.dt.nanoseconds
Series.dt.components

##時間メソッド

Series.dt.to_period(*args, **kwargs)
Series.dt.to_pydatetime()
Series.dt.tz_localize(*args, **kwargs)
Series.dt.tz_convert(*args, **kwargs)
Series.dt.normalize(*args, **kwargs)
Series.dt.strftime(*args, **kwargs)
Series.dt.round(*args, **kwargs)
Series.dt.floor(*args, **kwargs)
Series.dt.ceil(*args, **kwargs)
Series.dt.month_name(*args, **kwargs)
Series.dt.day_name(*args, **kwargs)
Series.dt.to_pytimedelta()
Series.dt.total_seconds(*args, **kwargs)

##文字列処理

Series.str.capitalize()
Series.str.casefold()
Series.str.cat([others, sep, na_rep, join])
Series.str.center(width[, fillchar])
Series.str.contains(pat[, case, flags, na, ...])
Series.str.count(pat[, flags])
Series.str.decode(encoding[, errors])
Series.str.encode(encoding[, errors])
Series.str.endswith(pat[, na])
Series.str.extract(pat[, flags, expand])
Series.str.extractall(pat[, flags])
Series.str.find(sub[, start, end])
Series.str.findall(pat[, flags])
Series.str.fullmatch(pat[, case, flags, na])
Series.str.get(i)
Series.str.index(sub[, start, end])
Series.str.join(sep)
Series.str.len()
Series.str.ljust(width[, fillchar])
Series.str.lower()
Series.str.lstrip([to_strip])
Series.str.match(pat[, case, flags, na])
Series.str.normalize(form)
Series.str.pad(width[, side, fillchar])
Series.str.partition([sep, expand])
Series.str.repeat(repeats)
Series.str.replace(pat, repl[, n, case, ...])
Series.str.rfind(sub[, start, end])
Series.str.rindex(sub[, start, end])
Series.str.rjust(width[, fillchar])
Series.str.rpartition([sep, expand])
Series.str.rstrip([to_strip])
Series.str.slice([start, stop, step])
Series.str.slice_replace([start, stop, repl])
Series.str.split([pat, n, expand])
Series.str.rsplit([pat, n, expand])
Series.str.startswith(pat[, na])
Series.str.strip([to_strip])
Series.str.swapcase()
Series.str.title()
Series.str.translate(table)
Series.str.upper()
Series.str.wrap(width, **kwargs)
Series.str.zfill(width)
Series.str.isalnum()
Series.str.isalpha()
Series.str.isdigit()
Series.str.isspace()
Series.str.islower()
Series.str.isupper()
Series.str.istitle()
Series.str.isnumeric()
Series.str.isdecimal()
Series.str.get_dummies([sep])

##カテゴリー

Series.cat.categories
Series.cat.ordered
Series.cat.codes
Series.cat.rename_categories(*args, **kwargs)
Series.cat.reorder_categories(*args, **kwargs)
Series.cat.add_categories(*args, **kwargs)
Series.cat.remove_categories(*args, **kwargs)
Series.cat.remove_unused_categories(*args, ...)
Series.cat.set_categories(*args, **kwargs)
Series.cat.as_ordered(*args, **kwargs)
Series.cat.as_unordered(*args, **kwargs)

##スパース

Series.sparse.npoints
Series.sparse.density
Series.sparse.fill_value
Series.sparse.sp_values
Series.sparse.from_coo(A[, dense_index])
Series.sparse.to_coo([row_levels, ...])

##メタデータ

Series.attrs

##描画

Series.plot([kind, ax, figsize, ....])
Series.plot.area([x, y])
Series.plot.bar([x, y])
Series.plot.barh([x, y])
Series.plot.box([by])
Series.plot.density([bw_method, ind])
Series.plot.hist([by, bins])
Series.plot.kde([bw_method, ind])
Series.plot.line([x, y])
Series.plot.pie(**kwargs)
Series.hist([by, ax, grid, xlabelsize, ...])

##構造変換

Series.to_pickle(path[, compression, ...])
Series.to_csv([path_or_buf, sep, na_rep, ...])
Series.to_dict([into])
Series.to_excel(excel_writer[, sheet_name, ...])
Series.to_frame([name])
Series.to_xarray()
Series.to_hdf(path_or_buf, key[, mode, ...])
Series.to_sql(name, con[, schema, ...])
Series.to_json([path_or_buf, orient, ...])
Series.to_string([buf, na_rep, ...])
Series.to_clipboard([excel, sep])
Series.to_latex([buf, columns, col_space, ...])
Series.to_markdown([buf, mode, index, ...])

#DataFrameの属性とメソッド一覧
##コンストラクタ

DataFrame([data, index, columns, dtype, copy])

##属性とデータ

DataFrame.index
DataFrame.columns
DataFrame.dtypes
DataFrame.info([verbose, buf, max_cols, ...])
DataFrame.select_dtypes([include, exclude])
DataFrame.values
DataFrame.axes
DataFrame.ndim
DataFrame.size
DataFrame.shape
DataFrame.memory_usage([index, deep])
DataFrame.empty
DataFrame.set_flags(*[, copy, ...])