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Highlight the use of Julia boolean style #92

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a8520c5
Update README.md
earthgecko May 24, 2022
9b4a011
Not the only exception
earthgecko May 24, 2022
8a64cb5
typo
earthgecko May 24, 2022
8357e0c
Unbloat and reference PyCall usage
earthgecko May 25, 2022
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6 changes: 5 additions & 1 deletion README.md
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Expand Up @@ -24,7 +24,7 @@ See the [PyCall configuration](https://github.com/JuliaPy/PyCall.jl#specifying-t

Usage
---------
In general, if ``df`` is a Pandas object (such as a dataframe or series), then the Python command ``df.x(y, w=z)`` becomes ``x(df, y, w=z)`` in Julia. ``df.loc[a,b,c]`` becomes ``loc(df)[a,b,c]`` (same for ``iloc`` and ``ix``). Example:
In general, if ``df`` is a Pandas object (such as a dataframe or series), then the Python command ``df.x(y, w=z)`` becomes ``x(df, y, w=z)`` in Julia. ``df.loc[a,b,c]`` becomes ``loc(df)[a,b,c]`` (same for ``iloc`` and ``ix``). Also note that Julia syntax for types must be used in arguments, so ``pd.Series(series, copy=True)`` becomes ``Pandas.Series(series, copy=true)`` Example:

```julia
>> using Pandas
Expand Down Expand Up @@ -94,6 +94,10 @@ age
>> plot(df3)
```

#### API method arguments

The values accepted by the API of this package generally go through the same conversion as arguments passed to PyCall, see [PyCall - Usage](https://github.com/JuliaPy/PyCall.jl#usage)

Input/Output
-------------
Example:
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