|
102 | 102 | "outputs": [],
|
103 | 103 | "source": [
|
104 | 104 | "weather_df = pd.DataFrame(\n",
|
105 |
| - " rng.standard_normal(10, 2) * 5,\n", |
| 105 | + " rng.standard_normal((10, 2)) * 5,\n", |
106 | 106 | " index=pd.date_range(start=\"2021-01-01\", periods=10),\n",
|
107 | 107 | " columns=[\"Tokyo\", \"Beijing\"],\n",
|
108 | 108 | ")\n",
|
|
159 | 159 | "metadata": {},
|
160 | 160 | "outputs": [],
|
161 | 161 | "source": [
|
162 |
| - "df = pd.DataFrame(rng.standard_normal(5, 5))\n", |
| 162 | + "df = pd.DataFrame(rng.standard_normal((5, 5)))\n", |
163 | 163 | "df.style.hide(subset=[0, 2, 4], axis=0).hide(subset=[0, 2, 4], axis=1)"
|
164 | 164 | ]
|
165 | 165 | },
|
|
611 | 611 | "metadata": {},
|
612 | 612 | "outputs": [],
|
613 | 613 | "source": [
|
614 |
| - "df2 = pd.DataFrame(rng.standard_normal(10, 4), columns=[\"A\", \"B\", \"C\", \"D\"])\n", |
| 614 | + "df2 = pd.DataFrame(rng.standard_normal((10, 4)), columns=[\"A\", \"B\", \"C\", \"D\"])\n", |
615 | 615 | "df2.style"
|
616 | 616 | ]
|
617 | 617 | },
|
|
909 | 909 | "outputs": [],
|
910 | 910 | "source": [
|
911 | 911 | "df3 = pd.DataFrame(\n",
|
912 |
| - " rng.standard_normal(4, 4),\n", |
| 912 | + " rng.standard_normal((4, 4)),\n", |
913 | 913 | " pd.MultiIndex.from_product([[\"A\", \"B\"], [\"r1\", \"r2\"]]),\n",
|
914 | 914 | " columns=[\"c1\", \"c2\", \"c3\", \"c4\"],\n",
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915 | 915 | ")\n",
|
|
1661 | 1661 | "outputs": [],
|
1662 | 1662 | "source": [
|
1663 | 1663 | "cmap = sns.diverging_palette(5, 250, as_cmap=True)\n",
|
1664 |
| - "bigdf = pd.DataFrame(rng.standard_normal(20, 25)).cumsum()\n", |
| 1664 | + "bigdf = pd.DataFrame(rng.standard_normal((20, 25))).cumsum()\n", |
1665 | 1665 | "\n",
|
1666 | 1666 | "bigdf.style.background_gradient(cmap, axis=1).set_properties(\n",
|
1667 | 1667 | " **{\"max-width\": \"80px\", \"font-size\": \"1pt\"}\n",
|
|
1685 | 1685 | "metadata": {},
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1686 | 1686 | "outputs": [],
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1687 | 1687 | "source": [
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1688 |
| - "bigdf = pd.DataFrame(rng.standard_normal(16, 100))\n", |
| 1688 | + "bigdf = pd.DataFrame(rng.standard_normal((16, 100)))\n", |
1689 | 1689 | "bigdf.style.set_sticky(axis=\"index\")"
|
1690 | 1690 | ]
|
1691 | 1691 | },
|
|
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