@@ -85,15 +85,20 @@ The table below details the currently supported chart modes and the correspondin
8585 from dataclocklib.charts import dataclock
8686
8787 graph_data, fig, ax = dataclock(
88- data=data.query("Date_Time .dt.year.ge(2015 )"),
89- date_column="Date_Time ",
90- agg_column="Number_of_Casualties ",
88+ data=data.query("date_time .dt.year.ge(2019 )"),
89+ date_column="date_time ",
90+ agg_column="number_of_casualties ",
9191 agg="sum",
9292 mode="DOW_HOUR",
9393 cmap_name="CMRmap_r",
94- chart_title="UK Car Accident Casualties 2015",
94+ cmap_reverse=False,
95+ spine_color="darkslategrey",
96+ grid_color="black",
97+ default_text=True,
98+ chart_title="UK Car Accident Casualties",
9599 chart_subtitle=None,
96- chart_source="www.kaggle.com/datasets/silicon99/dft-accident-data"
100+ chart_period="Period: 2019",
101+ chart_source="Source: www.kaggle.com/datasets/silicon99/dft-accident-data"
97102 )
98103
99104 .. figure :: _static/images/sphinx_index_chart_1.png
@@ -103,19 +108,25 @@ The table below details the currently supported chart modes and the correspondin
103108.. code-block ::
104109 :caption: Chart creation example using UK Department for Transport data.
105110
106- from dataclocklib.charts import dataclock
111+ datetime_start = "date_time.dt.year.ge(2020)"
112+ datetime_stop = "date_time.dt.year.le(2022)"
107113
108114 graph_data, fig, ax = dataclock(
109- data=data.query("Date_Time.dt.year.eq(2010) "),
110- date_column="Date_Time ",
115+ data=data.query(f"{datetime_start} & {datetime_stop} "),
116+ date_column="date_time ",
111117 agg_column=None,
112118 agg="count",
113- mode="DOW_HOUR",
114- cmap_name="RdYlGn_r",
119+ mode="YEAR_MONTH",
120+ cmap_name="pal12",
121+ cmap_reverse=True,
122+ spine_color="black",
123+ grid_color="black",
115124 default_text=True,
116- chart_title="UK Car Accidents 2010 ",
125+ chart_title="UK Car Accident Casualties ",
117126 chart_subtitle=None,
118- chart_source="www.kaggle.com/datasets/silicon99/dft-accident-data"
127+ chart_period="Period: 2020 - 2022",
128+ chart_source="Source: www.kaggle.com/datasets/silicon99/dft-accident-data",
129+ dpi=150
119130 )
120131
121132 .. figure :: _static/images/sphinx_index_chart_2.png
@@ -125,23 +136,25 @@ The table below details the currently supported chart modes and the correspondin
125136.. code-block ::
126137 :caption: Chart creation example using UK Department for Transport data.
127138
128- from dataclocklib.charts import dataclock
129-
130- datetime_start = "Date_Time.ge('2010-01-1')"
131- datetime_stop = "Date_Time.le('2015-12-31')"
132- severity = "Accident_Severity.eq(1)"
139+ datetime_start = "date_time.ge('2019-01')"
140+ datetime_stop = "date_time.le('2023-01')"
133141
134142 graph_data, fig, ax = dataclock(
135- data=data.query(f"{datetime_start} & {datetime_stop} & {severity}"),
136- date_column="Date_Time",
137- agg_column="Number_of_Casualties",
138- agg="sum",
139- mode="YEAR_MONTH",
140- cmap_name="YlGnBu_r",
143+ data=data.query(f"{datetime_start} & {datetime_stop}"),
144+ date_column="date_time",
145+ agg_column=None,
146+ agg="count",
147+ mode="YEAR_WEEK",
148+ cmap_name="Avedon",
149+ cmap_reverse=True,
150+ spine_color="black",
151+ grid_color="black",
141152 default_text=True,
142- chart_title="UK Fatal Car Accident Casualties 2010 - 2015 ",
153+ chart_title="UK Car Accident Casualties",
143154 chart_subtitle=None,
144- chart_source="www.kaggle.com/datasets/silicon99/dft-accident-data"
155+ chart_period="Period: 2019 - 2022",
156+ chart_source="Source: www.kaggle.com/datasets/silicon99/dft-accident-data",
157+ dpi=150
145158 )
146159
147160 .. figure :: _static/images/sphinx_index_chart_3.png
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