matplotlib

    def _build_chart(self, data: List[Dict[str, Any]]) -> str:
        plt.rcParams["figure.figsize"] = [15, 5]
        plt.rcParams["figure.autolayout"] = True
        plt.rcParams['font.size'] = 18

        x_data, y_data, colors = [], [], []

        for record in data:
            index = int(record.get("index"))

            if self.current_date.day < index:
                value, color = record.get("expected"), "#00B690"

            else:
                value, color = record.get("current"), "#22005B"

            plt.bar(index, value, color=color)
            x_data.append(index)

        plt.xticks(x_data)

        plt.gca().axes.get_yaxis().set_visible(False)

        plt.gca().axes.spines['top'].set_visible(False)
        plt.gca().axes.spines['left'].set_visible(False)
        plt.gca().axes.spines['right'].set_visible(False)
        plt.gca().axes.spines['bottom'].set_visible(False)
        plt.margins(x=0)

        plt.tick_params(bottom=False)

        s = io.BytesIO()
        plt.savefig(s, bbox_inches='tight', pad_inches=0, format='png')
        plt.close()

        uploaded_image = upload_file_by_credentials_from_config(
            base64_image=base64.b64encode(s.getvalue()).decode("utf-8").replace("\n", ""),
            upload_to=config.COMPANIES_CHARTS_UPLOAD_TO,
            is_private=False,
            is_image=True,
        )

        return AwsS3Processor.generate_url_to_file(
            file_name=uploaded_image, bucket_name=config.AWS_IMAGES_S3_BUCKET, is_private=False
        )