diff --git a/README.md b/README.md index 9a157bf..cffe707 100644 --- a/README.md +++ b/README.md @@ -1844,8 +1844,8 @@ import csv ### Parameters * **`'dialect'` - Master parameter that sets the default values. String or a 'csv.Dialect' object.** * **`'delimiter'` - A one-character string used to separate fields.** -* **`'lineterminator'` - How writer terminates rows. Reader is hardcoded to '\n', '\r', '\r\n'.** -* **`'quotechar'` - Character for quoting fields that contain special characters.** +* **`'lineterminator'` - How writer terminates rows. Reader looks for '\n', '\r' and '\r\n'.** +* **`'quotechar'` - Character for quoting fields containing delimiters, quotechars, '\n' or '\r'.** * **`'escapechar'` - Character for escaping quotechars.** * **`'doublequote'` - Whether quotechars inside fields are/get doubled or escaped.** * **`'quoting'` - 0: As necessary, 1: All, 2: All but numbers which are read as floats, 3: None.** @@ -3186,14 +3186,14 @@ Name: a, dtype: int64 ```python = .head/describe/sort_values() # Also .unique/value_counts/round/dropna(). - = .str.strip/lower/contains/replace() # Also split().str[] and split().explode(). + = .str.strip/lower/contains/replace() # Also split().str[i] or split(expand=True). = .dt.year/month/day/hour # Use pd.to_datetime() to get S of dates. ``` ```python .plot.line/area/bar/pie/hist() # Generates a plot. `plt.show()` displays it. ``` -* **Also: `'pd.cut(, bins=)'` and `'.quantile()'`.** +* **Also `'.quantile()'` and `'pd.cut(, bins=)'`.** * **Indexing objects can't be tuples because `'obj[x, y]'` is converted to `'obj[(x, y)]'`.** * **Pandas uses NumPy types like `'np.int64'`. Series is converted to `'float64'` if we assign np.nan to any item. Use `'.astype()'` to get converted Series.** * **Series will silently overflow if we run `'pd.Series([100], dtype="int8") + 100'`!** @@ -3255,7 +3255,7 @@ b 3 4 ``` ```python - = > # Returns DF of bools. S is treated as a row. + = > # Returns DF of bools. Treats series as a row. = + # Items with non-matching keys get value NaN. ``` @@ -3338,7 +3338,7 @@ c 6 7 | | b 2.0 2.0 | b 2.0 2.0 | b 2.0 | +-----------------+---------------+---------------+---------------+ ``` -* **All methods operate on columns by default. Pass `'axis=1'` to process the rows instead.** +* **Listed methods process the columns unless they receive `'axis=1'`. Exceptions to this rule are `'.dropna()'`, `'.drop(row_key/s)'` and `'.rename()'`.** * **Fifth result's columns are indexed with a multi-index. This means we need a tuple of column keys to specify a column: `'.loc[row_key, (col_key_1, col_key_2)]'`.** ### Multi-Index diff --git a/index.html b/index.html index 160edeb..6629569 100644 --- a/index.html +++ b/index.html @@ -55,7 +55,7 @@
- +
@@ -1529,8 +1529,8 @@ CompletedProcess(args=['bc', Parameters
  • 'dialect' - Master parameter that sets the default values. String or a 'csv.Dialect' object.
  • 'delimiter' - A one-character string used to separate fields.
    • -
  • 'lineterminator' - How writer terminates rows. Reader is hardcoded to '\n', '\r', '\r\n'.
    • -
  • 'quotechar' - Character for quoting fields that contain special characters.
    • +
  • 'lineterminator' - How writer terminates rows. Reader looks for '\n', '\r' and '\r\n'.
    • +
  • 'quotechar' - Character for quoting fields containing delimiters, quotechars, '\n' or '\r'.
  • 'escapechar' - Character for escaping quotechars.
  • 'doublequote' - Whether quotechars inside fields are/get doubled or escaped.
  • 'quoting' - 0: As necessary, 1: All, 2: All but numbers which are read as floats, 3: None.
    • @@ -2595,13 +2595,13 @@ Name: a, dtype: int64 <S> = <S> + <el/S> # Items with non-matching keys get value NaN. 
    <S>  = <S>.head/describe/sort_values()         # Also <S>.unique/value_counts/round/dropna().
-<S>  = <S>.str.strip/lower/contains/replace()  # Also split().str[<int>] and split().explode().
+<S>  = <S>.str.strip/lower/contains/replace()  # Also split().str[i] or split(expand=True).
 <S>  = <S>.dt.year/month/day/hour              # Use pd.to_datetime(<S>) to get S of dates.
 
    <S>.plot.line/area/bar/pie/hist()              # Generates a plot. `plt.show()` displays it.
      -
    • Also: 'pd.cut(<S>, bins=<int/coll>)' and '<S>.quantile(<float/coll>)'.
      • +
    • Also '<S>.quantile(<float/coll>)' and 'pd.cut(<S>, bins=<int/coll>)'.
    • Indexing objects can't be tuples because 'obj[x, y]' is converted to 'obj[(x, y)]'.
    • Pandas uses NumPy types like 'np.int64'. Series is converted to 'float64' if we assign np.nan to any item. Use '<S>.astype(<str/type>)' to get converted Series.
    • Series will silently overflow if we run 'pd.Series([100], dtype="int8") + 100'!
      • @@ -2650,7 +2650,7 @@ b 3 4 <DF> = <DF>[<S_of_bools>] # Filters rows. For example `df[df.x > 1]`. <DF> = <DF>[<DF_of_bools>] # Assigns NaN to items that are False in bools. -
      <DF>   = <DF> > <el/S/DF>                      # Returns DF of bools. S is treated as a row.
+
      <DF>   = <DF> > <el/S/DF>                      # Returns DF of bools. Treats series as a row.
 <DF>   = <DF> + <el/S/DF>                      # Items with non-matching keys get value NaN.
 
      
 
      <DF>   = <DF>.set_index(col_key)               # Replaces row keys with column's values.
@@ -2719,7 +2719,7 @@ c  6  7
 
      
 
 
        
-
      • All methods operate on columns by default. Pass 'axis=1' to process the rows instead.
        • 
+
      • Listed methods process the columns unless they receive 'axis=1'. Exceptions to this rule are '<DF>.dropna()', '<DF>.drop(row_key/s)' and '<DF>.rename(<dict/func>)'.
        • 
 
      • Fifth result's columns are indexed with a multi-index. This means we need a tuple of column keys to specify a column: '<DF>.loc[row_key, (col_key_1, col_key_2)]'.
        • 
 
      
 
      Multi-Index
      <DF> = <DF>.loc[row_key_1]                     # Or: <DF>.xs(row_key_1)
@@ -2931,7 +2931,7 @@ $ deactivate                # Deactivates the active