Update README.md

README.md

@@ -32,7 +32,7 @@ The dataset used in this example is `Weijie1996/load_timeseries`, which contains
 You can install the required libraries using pip:
 
 ```sh
-pip install datasets pandas
+python -m pip install "dask[complete]"    # Install everything
 ```
 
 ## Usage
@@ -40,19 +40,13 @@ pip install datasets pandas
 The following example demonstrates how to load the dataset and convert it to a pandas DataFrame.
 
 ```python
-from datasets import load_dataset
+import dask.dataframe as dd
 
-ds = load_dataset("Weijie1996/load_timeseries")
-# Print the category of the dataset
+# read parquet file
+df = dd.read_parquet("hf://datasets/Weijie1996/load_timeseries/30m_resolution_ge/ge_30m.parquet")
 
-print(set(ds['category']))
-print(set(ds['id']))
-
-# Filter the dataset that category is 15m and id is GE_1
-ds = ds.filter(lambda x: x['category'] == '30m' and x['id'] == 'GE_1') 
-
-# Transform the dataset to a pandas dataframe
-df = ds.to_pandas()
+# change to pandas dataframe
+df = df.compute()
 
 ```