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Sync pandas-intro with the updated tutorial #939

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Sync pandas-intro with the updated tutorial #939

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44 changes: 15 additions & 29 deletions pandas-intro/pandas_intro.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -33,7 +33,7 @@
"metadata": {},
"source": [
"```console\n",
"$ python3 -m pip install requests pandas matplotlib\n",
"$ python3 -m pip install \"requests==2.34.*\" \"pandas==3.1.*\" \"matplotlib==3.11.*\"\n",
"```"
]
},
Expand Down Expand Up @@ -61,7 +61,10 @@
"source": [
"import requests\n",
"\n",
"download_url = \"https://raw.githubusercontent.com/fivethirtyeight/data/master/nba-elo/nbaallelo.csv\"\n",
"download_url = (\n",
" \"https://raw.githubusercontent.com/fivethirtyeight/\"\n",
" \"data/master/nba-elo/nbaallelo.csv\"\n",
")\n",
"target_csv_path = \"nba_all_elo.csv\"\n",
"\n",
"response = requests.get(download_url)\n",
Expand Down Expand Up @@ -197,7 +200,7 @@
"metadata": {},
"outputs": [],
"source": [
"nba.describe(include=object)"
"nba.describe(include=\"str\")"
]
},
{
Expand All @@ -215,11 +218,13 @@
"source": [
"nba[\"team_id\"].value_counts()\n",
"# Expected:\n",
"# team_id\n",
"# BOS 5997\n",
"# NYK 5769\n",
"# LAL 5078\n",
"\n",
"# SDS 11"
"# SDS 11\n",
"# Name: count, Length: 104, dtype: int64"
]
},
{
Expand All @@ -230,12 +235,13 @@
"source": [
"nba[\"fran_id\"].value_counts()\n",
"# Expected:\n",
"# fran_id\n",
"# Lakers 6024\n",
"# Celtics 5997\n",
"# Knicks 5769\n",
"\n",
"# Falcons 60\n",
"# Name: fran_id, dtype: int64"
"# Name: count, dtype: int64"
]
},
{
Expand Down Expand Up @@ -598,29 +604,7 @@
"source": [
"city_revenues[\"Toronto\"]\n",
"# Expected:\n",
"# 8000"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"city_revenues[1]\n",
"# Expected:\n",
"# 8000"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"city_revenues[-1]\n",
"# Expected:\n",
"# 6500"
"# np.int64(8000)"
]
},
{
Expand Down Expand Up @@ -1330,7 +1314,9 @@
"outputs": [],
"source": [
"data_with_default_notes = nba.copy()\n",
"data_with_default_notes[\"notes\"].fillna(value=\"no notes at all\", inplace=True)\n",
"data_with_default_notes[\"notes\"] = data_with_default_notes[\"notes\"].fillna(\n",
" value=\"no notes at all\"\n",
")\n",
"data_with_default_notes[\"notes\"].describe()\n",
"# Expected:\n",
"# count 126314\n",
Expand Down
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